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BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments

机译:BABELOMICS:一组网络工具用于在高通量实验中对基因组进行功能注释和分析

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摘要

We present Babelomics, a complete suite of web tools for the functional analysis of groups of genes in high-throughput experiments, which includes the use of information on Gene Ontology terms, interpro motifs, KEGG pathways, Swiss-Prot keywords, analysis of predicted transcription factor binding sites, chromosomal positions and presence in tissues with determined histological characteristics, through five integrated modules: FatiGO (fast assignment and transference of information), FatiWise, transcription factor association test, GenomeGO and tissues mining tool, respectively. Additionally, another module, FatiScan, provides a new procedure that integrates biological information in combination with experimental results in order to find groups of genes with modest but coordinate significant differential behaviour. FatiScan is highly sensitive and is capable of finding significant asymmetries in the distribution of genes of common function across a list of ordered genes even if these asymmetries were not extreme. The strong multiple-testing nature of the contrasts made by the tools is taken into account. All the tools are integrated in the gene expression analysis package GEPAS. Babelomics is the natural evolution of our tool FatiGO (which analysed almost 22 000 experiments during the last year) to include more sources on information and new modes of using it. Babelomics can be found at .
机译:我们介绍了Babelomics,这是一套用于在高通量实验中对基因组进行功能分析的网络工具的完整套件,其中包括使用有关基因本体论术语,interpro主题,KEGG途径,Swiss-Prot关键字的信息,预测的转录分析通过五个集成模块分别通过FatiGO(信息的快速分配和传递),FatiWise,转录因子关联测试,GenomeGO和组织挖掘工具,确定具有组织学特征的组织中的因子结合位点,染色体位置和存在性。此外,另一个模块FatiScan提供了一种新的程序,该程序将生物学信息与实验结果结合在一起,以便找到具有适度但协调重要的差异行为的基因组。 FatiScan具有高度的敏感性,即使这些不对称性不是极端的,也能够在有序基因列表中发现具有共同功能的基因分布中的显着不对称性。考虑到工具所进行对比的强大的多次测试性质。所有工具都集成在基因表达分析软件包GEPAS中。 Babelomics是我们的工具FatiGO(在过去的一年中分析了近22,000个实验)的自然演变,以包括更多的信息来源和新的使用方式。可以在上找到Babelomics。

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